Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

readOnlyHint=true already covers the safety profile, and the description adds real value beyond it: pagination semantics ('Paged: pass next_page as page') and the exact endpoint (GET /public-api/v1/bonuses/). It does not mention result ordering or size limits, but no contradiction exists with the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two compact sentences, front-loaded with the resource and its key fields, then the filtering and paging behavior. No filler and nothing buried.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description usefully enumerates the return fields and explains paging and filter scope, which is enough to call it correctly. Minor gaps remain on default ordering and whether unfiltered calls span all employees, but nothing essential is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so page, year, employee and monthly_pay are already fully documented including the 13/14 tredicesima/quattordicesima convention. The description only gestures at the filters at a high level ('one employee, year or month') and adds no syntax or edge-case detail, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Specific verb+resource ('List payroll bonuses') plus the returned fields (employee, payroll month, amount, kind, note), which lets an agent distinguish this from jethr_list_bonus_kinds. It stops short of naming that sibling explicitly, so differentiation is inferential rather than stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

'optionally for one employee, year or month' conveys the filtering use case, so an agent knows when to apply the optional params. There is no explicit guidance on when to prefer this over jethr_list_bonus_kinds or jethr_list_payslips, and no prerequisites are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.